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Related lectures (5)
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Martingales and Brownian Motion: Global Behavior and Zero Set Length
Explores the behavior of Brownian motion and its zero set length.
Conditional Gaussian Generation
Explores the generation of multivariate Gaussian distributions and the challenges of factorizing covariance matrices.
Gaussian Random Vectors: Conditional Generation
Explores generating Gaussian random vectors with specific components based on observed values and explains the concept of positive definite covariance functions in Gaussian processes.
Fourier Transform and Spectral Densities
Covers the Fourier transform, spectral densities, Wiener-Khinchin theorem, and stochastic processes.
Stochastic Differential Equations
Covers Stochastic Differential Equations, Wiener increment, Ito's lemma, and white noise integration in financial modeling.
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